A Fuzzy Energy-based extension to AODV routing

M. N. Torshiz, H. Amintoosi, A. Movaghar
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引用次数: 20

Abstract

Ad hoc wireless networks are power constrained since nodes operate with a limited battery energy. To maximize the lifetime of these networks, transactions through mobile nodes must be controlled such that the power dissipation rates of all nodes are rarely the same. This paper presents a fuzzy extension to ad hoc on demand distance vector routing protocol with power considerations. The path selected by conventional AODV routing protocol is not the optimal path because AODV selects the first path that has been found which is not necessarily the best. Routing optimality affects the network performance, especially when the load is high. Longer route consumes more bandwidth, produces more delay, and is more prone to disconnections. Fuzzy energy-based AODV (FE-AODV) is a technique that monitors the routes and tries to select the optimal route on the basis of the minimum bandwidth and hop count of each route. It also tries to increase the network life time so that the power dissipation rates of all nodes are rarely the same. The proposed fuzzy logic method is evaluated and compared with conventional method using NS2.
基于模糊能量的AODV路由扩展
自组织无线网络受到功率限制,因为节点使用有限的电池能量运行。为了使这些网络的生命周期最大化,必须控制通过移动节点的事务,使所有节点的功耗率很少相同。本文提出了一种考虑功率因素的随需应变距离矢量路由协议的模糊扩展。传统AODV路由协议选择的路径不是最优路径,因为AODV选择的是找到的第一条路径,不一定是最优路径。路由优化会影响网络性能,特别是在负载较高的情况下。路由越长,占用的带宽越大,产生的延迟也越大,更容易出现断连。模糊能量AODV (Fuzzy energy-based AODV, FE-AODV)是一种对路由进行监控,并根据每条路由的最小带宽和跳数选择最优路由的技术。它还试图增加网络生命周期,以便所有节点的功耗率很少相同。利用NS2对所提出的模糊逻辑方法进行了评价,并与传统方法进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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